1086 search results - page 19 / 218 » Subspace Analysis Using Random Mixture Models |
ICA
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
BMCBI
2005
13 years 7 months ago
2005
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
KDD
2007
ACM
14 years 1 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
BMCBI
2011
12 years 11 months ago
2011
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...